Power to Localize the Major Gene for Disease Liability Is Increased After Accounting for the Effects of Related Quantitative Phenotypes

We used the simulated general population data for Genetic Analysis Workshop 12 to test whether power to localize the major gene for liability to disease is increased after accounting for the effects of correlated quantitative phenotypes. We performed the multipoint variance‐component linkage analyse...

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Bibliographic Details
Published in:Genetic epidemiology 2001, Vol.21 (S1), p.S774-S778
Main Authors: Arya, Rector, Duggirala, Ravindaranath, Williams, Jeff T., Almasy, Laura, Blangero, John
Format: Article
Language:English
Subjects:
Chromosome Mapping - statistics & numerical data
disease liability
Genetic Predisposition to Disease - genetics
Genetic Testing
Genetics, Population
Genotype
Humans
Likelihood Functions
linkage analysis
Lod Score
major gene
Models, Genetic
Phenotype
quantitative phenotypes
Quantitative Trait, Heritable
threshold model
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Summary:We used the simulated general population data for Genetic Analysis Workshop 12 to test whether power to localize the major gene for liability to disease is increased after accounting for the effects of correlated quantitative phenotypes. We performed the multipoint variance‐component linkage analyses for the discrete trait twice: first analysis with age, sex, and EF1 as covariates, and the second analysis with age, sex, EF1, and Q1–Q5 as covariates. Major locus heritability (h2q,) (0.80 ± 0.06) and lod score (6.4) averaged over the number of replicates used are significantly higher in the second analysis compared with the first analysis (h2q= 0.39 ± 0.12, lod = 2.6). Thus, in the present analysis, power to detect linkage and localize the genes for liability to disease appears to be increased after accounting for the effects of five quantitative traits that are correlated with the liability. © 2001 Wiley‐Liss, Inc.
ISSN:0741-0395
1098-2272
DOI:10.1002/gepi.2001.21.s1.s774